Convolutional Learning of Spatio-temporal Features

Gradient-based learning applied to document recognition

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A fast learning algorithm for deep belief nets

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Training Products of Experts by Minimizing Contrastive Divergence

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What is the best multi-stage architecture for object recognition?

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Learning methods for generic object recognition with invariance to pose and lighting

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Representation Learning: A Review and New Perspectives

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Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

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Learning Spatiotemporal Features with 3D Convolutional Networks

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Two-Stream Convolutional Networks for Action Recognition in Videos

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Large-Scale Video Classification with Convolutional Neural Networks

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Flownet: Learning optical flow with convolutional networks

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Spectral Networks and Locally Connected Networks on Graphs

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SlowFast Networks for Video Recognition

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Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

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Review of Deep Learning Algorithms and Architectures

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Dense Trajectories and Motion Boundary Descriptors for Action Recognition

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Action recognition with trajectory-pooled deep-convolutional descriptors

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Unsupervised Learning of Visual Representations Using Videos

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Describing Videos by Exploiting Temporal Structure

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Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification

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Deep hashing for compact binary codes learning

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Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

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Connectionist Temporal Modeling for Weakly Supervised Action Labeling

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Disentangling Factors of Variation for Facial Expression Recognition

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First Person Action Recognition Using Deep Learned Descriptors

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Untitled work

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Fighting Fake News: Two Stream Network for Deepfake Detection via Learnable SRM

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A Multi-scale Approach to Gesture Detection and Recognition

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Deep Learning for Video Classification: A Review

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